Detection of oral lesions in vivo with reflectance confocal microscopy in an outpatient clinic setting in India

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Authors: Aditi Sahu, Amanjyot Kaur Bains, Isha Shinde, Prachi Terwadkar, Pratik Chandrani, Kıvanç Köse, Pankaj Chaturvedi, Arjun Singh, Milind M. Rajadhyaksha
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Abstract

Oral cancer is a major global concern in countries like India. Although biopsy remains the gold standard, it is invasive and vulnerable to sampling error. Reflectance confocal microscopy (RCM) is a promising non-invasive modality for near-histological in-vivo imaging of oral epithelium. In this study, we aimed to identify key RCM features for diagnosing oral cancer and premalignant lesions using a modified confocal microscope with a rigid telescopic probe. RCM images were evaluated for around 40 features. A total of 97 premalignant, 23 normal, 15 cancer lesions were imaged. Overall accuracy for the validation cohort was 92.6%, confirming potential of RCM for oral premalignant and cancer diagnosis.

Fields of Study & Subjects

Oral Health Pathology and Treatment AI in cancer detection Head and Neck Cancer Studies

Publication details

Journal / source
Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology
Pages
18–18
Publication date
4 March 2026
Language
EN